To conduct mungbean variety evaluation experiments to assess how effective new mungbean varieties for the Maquarie Valley were under irrigated conditions.
Key messages
Mungbean yield potential ranged from a low of 0.81 t/ha up to a high of 2.70 t/ha in three years of irrigated variety evaluation experiments at Trangie in the Macquarie Valley.
Jade_AUA (released 2013) is the recommended variety for Macquarie Valley mungbean growers with the highest yield potential, largest seed size (an important quality attribute for marketing) and best disease tolerance package. CrystalA would be an adequate second-best option based on yield and potential seed size.
Niche mungbean varieties such as Regur (black gram type), and the two small-seeded lines Celera IIA and Green DiamondA, would have to command a substantial premium for their respective seed quality attributes to compensate for the poorer yield potential demonstrated in these experiments.
Lead research organisation
Department of Primary Industries NSW
Host research organisation
N/A
Trial funding source
GRDC DAN00171
Related program
Northern pulse agronomy initiative - NSW
Acknowledgments
These experiments were part of the project Northern pulse agronomy initiative – NSW (DAN00171) with joint investment by NSW DPI and GRDC. Technical assistance with field work provided by Scott Richards, Jayne Jenkins, Liz Jenkins and Joanna Wallace (all NSW DPI, Trangie) is gratefully acknowledged. Gavin Melville (NSW DPI biometrician) provided statistical analysis and support for these experiments. Kelvin Appleyard and supporting farm staff at Trangie ARC are also acknowledged for providing experiment sites, and preparation and in-crop management of fields.
No observed climate data available for this trial. Derived climate data is
determined from trial site location and national weather sources.
Trangie Agricultural Research Centre NSW
SILO weather estimates sourced from https://www.longpaddock.qld.gov.au/silo/
Jeffrey, S.J., Carter, J.O., Moodie, K.B. and Beswick, A.R. (2001). Using spatial interpolation to
construct a comprehensive archive of Australian climate data , Environmental Modelling and Software, Vol
16/4, pp 309-330. DOI: 10.1016/S1364-8152(01)00008-1.
